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AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods
  in Low-resource Regimes

AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes

8 February 2024
Juhwan Choi
Kyohoon Jin
Junho Lee
Sangmin Song
Youngbin Kim
ArXivPDFHTML

Papers citing "AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes"

2 / 2 papers shown
Title
Paraphrase Identification with Deep Learning: A Review of Datasets and
  Methods
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods
Chao Zhou
Cheng Qiu
Daniel Ernesto Acuna
32
25
0
13 Dec 2022
Data Augmentation Approaches in Natural Language Processing: A Survey
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
130
271
0
05 Oct 2021
1